INCOM 2024 Data Challenge – A Successful Launch Event

The inaugural Supply Chain and Logistics Data Challenge (SCLDC'24) was successfully hosted at the 18th IFAC Symposium on Information Control Problems in Manufacturing (INCOM'24), held from 28–30 August 2024 in Vienna, Austria. The event drew enthusiastic participation from both researchers and practitioners. Despite being its first edition, the challenge was well-received and smoothly executed, reflecting the growing momentum behind data-driven approaches in logistics and supply chain management. Participants engaged in two exciting challenge segments:

• Delivery Delay Prediction
  A real-world-inspired multi-label classification task, where participants built models to predict whether deliveries would arrive early, on time, or be delayed.
• Collaborative Vehicle Routing A multi-depot capacitated vehicle routing problem (MD-CVRP), focused on minimising total travel distances while respecting capacity constraints.

Organising Team

• Dr Yunbo Long, Supply Chain AI Lab, University of Cambridge
• Prof Alexandra Brintrup, Supply Chain AI Lab, University of Cambridge
• Dr George Baryannis, Department of Computer Science, University of Huddersfield
• Prof Dmitry Ivanov, Department of Business and Economics, Berlin School of Economics and Law

🏆 Awards and Recognition

Winners were announced during the conference’s closing session. Awards were presented for both challenge tracks, along with a special recognition for the most innovative solutions:

In delivery delay prediction competition, Mostafa Hajj Chehade won the 1st Place Award (top figure) and Team ScienzaSabauda (Edoardo Fadda, Daniele Gioia) won the Award for Innovation (middle figure); in the collaborative vehicle routing competition, Team The One (Arthur Jorge Pereira Corrêa) won the both Award for Innovation & 1st Place (bottom figure):

We thank all participants for contributing to the success of this pioneering initiative! 👏👏👏

MIM 2025 Data Challenge – Continuing Growth in the Second Edition

The second Supply Chain and Logistics Data Challenge (SCLDC'25) was held at the 11th IFAC Conference on Manufacturing Modelling, Management and Control (MIM'25), Trondheim, Norway, 30 June – 3 July 2025. Organised in collaboration with the Centre for Autonomous and Intelligent Systems (CAIS) at the University of Huddersfield, the Supply Chain and Operations Management group at the Berlin School of Economics and Law, and the Production Management Group at NTNU, the second edition expanded the scope to three competition segments:

• Delivery Delay Prediction
• Collaborative Vehicle Routing (multi-depot capacitated VRP)
• Complex Supply Network Analysis — newly introduced in 2025

Organising Team

• Dr Yunbo Long, Supply Chain AI Lab, University of Cambridge
• Dr George Baryannis, Department of Computer Science, University of Huddersfield
• Prof Dmitry Ivanov, Berlin School of Economics and Law
• Prof Alexandra Brintrup, Supply Chain AI Lab, University of Cambridge
• Prof Fabio Sgarbossa, NTNU
• Dr Hossein Arshad, NTNU

👉 Detailed competition segments, datasets, and outcomes are archived on the MIM'25 Data Challenge page.

Thank you to all participants for another successful edition! We look forward to the next challenge in 2026. 🚀